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2019/20 Taught Postgraduate Programme Catalogue

MSc (Eng) Communications and Signal Processing

Programme code:MSE-CN&SPUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Dr Des McLernon Contact address:d.c.mclernon@leeds.ac.uk

Total credits: 180

Entry requirements:

A degree equivalent to a UK upper second class honours (2.1) in Electronic/Electrical Engineering, Computing, Mathematics or Physics, or a good lower second-class (2.2) honours degree accompanied by demonstration of specific competence in communications theory or practice.


School/Unit responsible for the parenting of students and programme:

School of Electronic and Electrical Engineering

Examination board through which the programme will be considered:

School of Electronic and Electrical Engineering

Programme specification:

The purpose of this MSc is to introduce students to the latest theory and developments in communication systems and also the underpinning mathematical techniques of digital signal processing (DSP).

High speed mobile broadband wireless access and the Internet of Things (IoT) are both part of the next communications revolution. For example, experts estimate that the IoT will consist of almost 50 billion (connected) objects by 2020. And as new video-rich, bandwidth-hungry services are developed, the challenge to implement these communication networks in practice is becoming more even demanding. Current (4-G)/future (5-G) cellular systems are using/will use advanced mathematical techniques like precoding, MIMO beamforming, estimation and detection, adaptive antennas, etc. But these networks and devices will also need to be energy efficient and use advanced signal processing for future 5-G communications, possibly in the mm-wave part of the r.f. spectrum. So at the core of all the above is the enabling technology of DSP so that mobile broadband services/IoT applications can be delivered (with an acceptable quality of service) to an increasing number of users over a limited bandwidth.

Now one of the unique features of this MSc course is the inclusion of a significant number of specialist industrial lectures, which ensures that students can relate the theoretical and design aspects of communications and signal processing to the practical limitations of real-world constraints. In addition, our digital signal processing laboratory will give you hands-on experience using the DSP technology that can be found in cars, cellular phones, GPS, etc. Students will also be introduced to important topics like security, optical networks and an understanding of the overall communications system design. Finally, all this theoretical material will then be put to use in a major research-orientated project supervised by staff who are internationally renowned in their fields.


Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Students will be required to study the following compulsory modules:-

ELEC5032MModern Industry Practice15 creditsSemesters 1 & 2
ELEC5333MWireless Communications Systems Design15 creditsSemester 2
ELEC5442MDigital Signal Processing for Communications15 creditsSemester 1
ELEC5456MOptical Communications Networks15 creditsSemester 2
ELEC5471MData Communications and Network Security15 creditsSemester 1
ELEC5882MMSc Individual Project60 credits1 Jan to 30 Sep

Optional modules:

Students will be required to select 45 credits from the following modules.

Students with no prior experience in C-programming must select ELEC5681M.

ELEC5447MCellular Mobile Communication Systems15 creditsSemester 2
ELEC5451MMini Projects and Laboratory15 creditsSemester 1
ELEC5461MHigh Speed Internet Architecture15 creditsSemester 2
ELEC5566MFPGA Design for System-on-Chip15 creditsSemester 2
ELEC5620MEmbedded Microprocessor System Design15 creditsSemester 2
ELEC5681MProgramming15 creditsSemester 1

Students are referred to the School's Code of Practice on Assessment for the rules for award.

Last updated: 30/04/2019

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